Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/14816 |
Resumo: | The tambaqui, Colossoma macropomum, is one of the most commercially valuable Amazonian fish species, and in the floodplains of the region, they are caught in both rivers and lakes. Most growth studies on this species to date have adjusted only one growth model, the von Bertalanffy, without considering its possible uncertainties. In this study, four different models (von Bertalanffy, Logistic, Gompertz and the general model of Schnüte-Richards) were adjusted to a data set of fish caught within lakes from the middle Solimões River. These models were adjusted by non-linear equations, using the sample size of each age class as its weight. The adjustment evaluation of each model was based on the Akaike Information Criterion (AIC), the variation of AIC between the models (Δi) and the evidence weights (wi). Both the Logistic (Δi = 0.0) and Gompertz (Δi = 1.12) models were supported by the data, but neither of them was clearly superior (wi, respectively 52.44 and 29.95%). Thus, we propose the use of an averaged-model to estimate the asymptotic length (L∞). The averaged-model, based on Logistic and Gompertz models, resulted in an estimate of L∞=90.36, indicating that the tambaqui would take approximately 25 years to reach average size. |
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Costa, Luiz R FBarthem, Ronaldo BorgesAlbernaz, Ana Luísa Kerti MangabeiraBittencourt, Maria MercedesVillacorta-Corrêa, Marle Angélica2020-04-24T17:09:46Z2020-04-24T17:09:46Z2013https://repositorio.inpa.gov.br/handle/1/1481610.1590/S1519-69842013000200021The tambaqui, Colossoma macropomum, is one of the most commercially valuable Amazonian fish species, and in the floodplains of the region, they are caught in both rivers and lakes. Most growth studies on this species to date have adjusted only one growth model, the von Bertalanffy, without considering its possible uncertainties. In this study, four different models (von Bertalanffy, Logistic, Gompertz and the general model of Schnüte-Richards) were adjusted to a data set of fish caught within lakes from the middle Solimões River. These models were adjusted by non-linear equations, using the sample size of each age class as its weight. The adjustment evaluation of each model was based on the Akaike Information Criterion (AIC), the variation of AIC between the models (Δi) and the evidence weights (wi). Both the Logistic (Δi = 0.0) and Gompertz (Δi = 1.12) models were supported by the data, but neither of them was clearly superior (wi, respectively 52.44 and 29.95%). Thus, we propose the use of an averaged-model to estimate the asymptotic length (L∞). The averaged-model, based on Logistic and Gompertz models, resulted in an estimate of L∞=90.36, indicating that the tambaqui would take approximately 25 years to reach average size.Volume 73, Número 2, Pags. 397-403Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessAnimalsBiological ModelBrasilCharaciformesClassificationGrowth, Development And AgingLakeAnimalBrasilCharaciformesLakesModels, BiologicalModelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inferenceModelagem do crescimento do tambaqui (Colossoma macropomum Cuvier, 1816): Seleção de modelos e inferência multimodelosinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Brasileira de Biologiaporreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfapplication/pdf696530https://repositorio.inpa.gov.br/bitstream/1/14816/1/artigo-inpa.pdf42ceaeb92d45a9e7262bfb7fb58598f8MD51CC-LICENSElicense_rdfapplication/octet-stream914https://repositorio.inpa.gov.br/bitstream/1/14816/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD521/148162020-07-14 09:17:00.29oai:repositorio:1/14816Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T13:17Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.pt_BR.fl_str_mv |
Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference |
dc.title.alternative.pt_BR.fl_str_mv |
Modelagem do crescimento do tambaqui (Colossoma macropomum Cuvier, 1816): Seleção de modelos e inferência multimodelos |
title |
Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference |
spellingShingle |
Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference Costa, Luiz R F Animals Biological Model Brasil Characiformes Classification Growth, Development And Aging Lake Animal Brasil Characiformes Lakes Models, Biological |
title_short |
Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference |
title_full |
Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference |
title_fullStr |
Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference |
title_full_unstemmed |
Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference |
title_sort |
Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference |
author |
Costa, Luiz R F |
author_facet |
Costa, Luiz R F Barthem, Ronaldo Borges Albernaz, Ana Luísa Kerti Mangabeira Bittencourt, Maria Mercedes Villacorta-Corrêa, Marle Angélica |
author_role |
author |
author2 |
Barthem, Ronaldo Borges Albernaz, Ana Luísa Kerti Mangabeira Bittencourt, Maria Mercedes Villacorta-Corrêa, Marle Angélica |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Costa, Luiz R F Barthem, Ronaldo Borges Albernaz, Ana Luísa Kerti Mangabeira Bittencourt, Maria Mercedes Villacorta-Corrêa, Marle Angélica |
dc.subject.eng.fl_str_mv |
Animals Biological Model Brasil Characiformes Classification Growth, Development And Aging Lake Animal Brasil Characiformes Lakes Models, Biological |
topic |
Animals Biological Model Brasil Characiformes Classification Growth, Development And Aging Lake Animal Brasil Characiformes Lakes Models, Biological |
description |
The tambaqui, Colossoma macropomum, is one of the most commercially valuable Amazonian fish species, and in the floodplains of the region, they are caught in both rivers and lakes. Most growth studies on this species to date have adjusted only one growth model, the von Bertalanffy, without considering its possible uncertainties. In this study, four different models (von Bertalanffy, Logistic, Gompertz and the general model of Schnüte-Richards) were adjusted to a data set of fish caught within lakes from the middle Solimões River. These models were adjusted by non-linear equations, using the sample size of each age class as its weight. The adjustment evaluation of each model was based on the Akaike Information Criterion (AIC), the variation of AIC between the models (Δi) and the evidence weights (wi). Both the Logistic (Δi = 0.0) and Gompertz (Δi = 1.12) models were supported by the data, but neither of them was clearly superior (wi, respectively 52.44 and 29.95%). Thus, we propose the use of an averaged-model to estimate the asymptotic length (L∞). The averaged-model, based on Logistic and Gompertz models, resulted in an estimate of L∞=90.36, indicating that the tambaqui would take approximately 25 years to reach average size. |
publishDate |
2013 |
dc.date.issued.fl_str_mv |
2013 |
dc.date.accessioned.fl_str_mv |
2020-04-24T17:09:46Z |
dc.date.available.fl_str_mv |
2020-04-24T17:09:46Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio.inpa.gov.br/handle/1/14816 |
dc.identifier.doi.none.fl_str_mv |
10.1590/S1519-69842013000200021 |
url |
https://repositorio.inpa.gov.br/handle/1/14816 |
identifier_str_mv |
10.1590/S1519-69842013000200021 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 73, Número 2, Pags. 397-403 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Revista Brasileira de Biologia |
publisher.none.fl_str_mv |
Revista Brasileira de Biologia |
dc.source.none.fl_str_mv |
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